BC analyst-ratings-tracker
Track Wall Street analyst ratings and price targets: who covers a stock and where each firm stands, upgrades and downgrades by ticker and market-wide, one analyst's profile and call history, the Street versus crowd comparison against SentiSense sentiment, and which firms moved after an earnings print. Use for analyst ratings API, price target consensus, analyst upgrades today, who covers a stock, analyst coverage, rating changes after earnings, analyst price targets by firm. Read-only. No trading, no purchases, no write operations, no wallet access.
Track Wall Street analyst ratings and price targets: who covers a stock and where each firm stands, upgrades and downgrades by ticker and market-wide, one…
As a process C 58/100 · Has gaps — weak spots: result and completion, running it twice, progress reporting
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 1
✓ No critical or high findings
Medium and low: 1
-
low Exfiltration
net-credential-useSKILL.md:50Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)- A free `SENTISENSE_API_KEY`. Get one at https://app.sentisense.ai/get-api-key. Send it on every REST call as the `X-SentiSense-API-Key` header (`curl -H "X-SentiSense-API-Key: $SENTISENSE_API_KEY" .
quoted
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 5620 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "requires" - note
frontmatter-keyunknown frontmatter key "primaryEnv"
Process rating: all ten parameters 58/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 19 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 5620 tokens
- 100Steps. 43 steps
- 100Consistency. Name and required fields are in place
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 555: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 43 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.